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Computational Statistics & Data Analysis, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Berger, Yves G. +2 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Berger, Yves G. +2 more
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Estimands, Estimators, and Estimates
JAMA, 2021Roderick J, Little, Roger J, Lewis
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Parametric estimation with a class of M-estimators
Mathematical Methods of Statistics, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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ESTIMABILITY AND ESTIMATION IN CASE-REFERENT STUDIES
American Journal of Epidemiology, 1976The concepts that case-referent studies provide for the estimation of "relative risk" only if the illness is "rare", and that the rates and risks themselves are inestimable, are overly superficial and restrictve. The ratio of incidence densities (forces of morbidity)-and thereby the instantaneous risk-ratio-is estimable without any rarity-assumption ...
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Estimating the Loss of Estimators of a Binomial Parameter
Biometrika, 1988A loss function is introduced, which combines the estimation error of a statistical procedure with a measure of its accuracy. The properties of this loss function are illustrated by the estimator of a binomial parameter. The choice of a conjugate prior distribution is discussed from this point of view.
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, 2011 Trend estimation deals with the characterization of the underlying, or long–run, evolution of a time series. Despite being a very pervasive theme in time series analysis since its inception, it still raises a lot of controversies. The difficulties, or better, the challenges, lie in the identification of the sources of the trend dynamics, and in the ...
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Advances in Applied Probability, 2004
We consider the problem of estimating the boundary of a compact set S ⊂ ℝd from a random sample of points taken from S. We use the Devroye-Wise estimator which is a union of balls centred at the sample points with a common radius (the smoothing parameter in this problem).
Cuevas, Antonio +1 more
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We consider the problem of estimating the boundary of a compact set S ⊂ ℝd from a random sample of points taken from S. We use the Devroye-Wise estimator which is a union of balls centred at the sample points with a common radius (the smoothing parameter in this problem).
Cuevas, Antonio +1 more
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Lifetime Data Analysis, 2007
In his discussion of Cox's (1972) paper on proportional hazards regression, Breslow (1972) provided the maximum likelihood estimator for the cumulative baseline hazard function. This estimator is commonly used in practice. The estimator has also been highly valuable in the further development of Cox regression and semiparametric inference with censored
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In his discussion of Cox's (1972) paper on proportional hazards regression, Breslow (1972) provided the maximum likelihood estimator for the cumulative baseline hazard function. This estimator is commonly used in practice. The estimator has also been highly valuable in the further development of Cox regression and semiparametric inference with censored
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2013
Estimation is the process of inferring the value of an unknown given quantity of interest from noisy, direct or indirect, observations of such a quantity. Due to its great practical relevance, estimation has a long history and an enormous variety of applications in all fields of engineering and science.
CHISCI, LUIGI, Farina, Alfonso
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Estimation is the process of inferring the value of an unknown given quantity of interest from noisy, direct or indirect, observations of such a quantity. Due to its great practical relevance, estimation has a long history and an enormous variety of applications in all fields of engineering and science.
CHISCI, LUIGI, Farina, Alfonso
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